3rd South American International Conference on Industrial Engineering and Operations Management

Time Series ARIMA Study of Antarctic Glacier Melting

Mason Chen
Publisher: IEOM Society International
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Track: High School STEM Competition
Abstract

This STEM paper would study the Time Series Antarctic Glacier Mass from 2002 Apr. to 2021 Mar. The objective of this paper is to forecast the Antarctic Glacier Mass level for 2021-2041. Among four STEM components: Science is Geoscience of the Glacier; Technology is using the GRACE-FO satellites to collect Glacier Ice Sheet Mass data; Engineering would focus on COVID-19 factor on the Glacier melting rate, and Mathematics is mainly on Time Series ARIMA models. Both non-Seasonal and Seasonal ARIMA models were studied and compared. Both the 12- month seasonal pattern and long-term year to year trend were significantly observed. The Glacier meting rate was becoming 2% faster based on the Seasonal ARIMA model. Smoothing models were also significantly identified in the Seasonal ARIMA model to smooth out the random noise component to enhance the Time Series Trend and Seasonal component to enhance the forecasting model. Forecasting Glacier Melting for 2021-2041 would be a challenging task to address both seasonal and trend components for a longer horizontal time from today. The prediction interval would become too wide to predict the future Glacier melting rate if more than 5 years away. Seasonal ARIMA model could provide a better fit than the non-seasonal ARIMA model, STEM methodology is a powerful and holistic way for conducting Scientific research project by modern GRACE-FO Technology in a practical Engineering sense through a Mathematical ARIMA Forecasting analysis.

Published in: 3rd South American International Conference on Industrial Engineering and Operations Management

Publisher: IEOM Society International
Date of Conference: May 10-12, 2022

ISBN: 978-1-7923-9159-0
ISSN/E-ISSN: 2169-8767